Alexander Maÿe

1.9k total citations
38 papers, 1.2k citations indexed

About

Alexander Maÿe is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Social Psychology. According to data from OpenAlex, Alexander Maÿe has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cognitive Neuroscience, 14 papers in Cellular and Molecular Neuroscience and 8 papers in Social Psychology. Recurrent topics in Alexander Maÿe's work include Neural dynamics and brain function (21 papers), EEG and Brain-Computer Interfaces (17 papers) and Neuroscience and Neural Engineering (11 papers). Alexander Maÿe is often cited by papers focused on Neural dynamics and brain function (21 papers), EEG and Brain-Computer Interfaces (17 papers) and Neuroscience and Neural Engineering (11 papers). Alexander Maÿe collaborates with scholars based in Germany, China and United States. Alexander Maÿe's co-authors include Andreas K. Engel, Peter König, Martin Kurthen, Dan Zhang, George Sugihara, Chih‐hao Hsieh, Björn Brembs, Cornelia Kranczioch, Hans‐Christian Hege and Stefan Debener and has published in prestigious journals such as PLoS ONE, NeuroImage and The Journal of Comparative Neurology.

In The Last Decade

Alexander Maÿe

34 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alexander Maÿe Germany 15 782 399 199 145 136 38 1.2k
Johannes M. Zanker United Kingdom 24 1.0k 1.3× 471 1.2× 141 0.7× 255 1.8× 101 0.7× 98 1.6k
Jenny C. A. Read United Kingdom 29 1.4k 1.8× 455 1.1× 149 0.7× 355 2.4× 118 0.9× 128 2.3k
Roland Baddeley United Kingdom 28 738 0.9× 296 0.7× 256 1.3× 602 4.2× 143 1.1× 59 2.1k
Greg J. Stephens United States 21 843 1.1× 560 1.4× 323 1.6× 212 1.5× 220 1.6× 40 2.2k
Àlex Gómez-Marín Spain 19 779 1.0× 666 1.7× 272 1.4× 264 1.8× 295 2.2× 53 2.1k
C. Thinus-Blanc France 18 979 1.3× 397 1.0× 206 1.0× 117 0.8× 60 0.4× 24 1.6k
Davide Zoccolan Italy 20 1.8k 2.2× 548 1.4× 152 0.8× 82 0.6× 19 0.1× 35 2.3k
C. Alejandro Párraga Spain 19 576 0.7× 211 0.5× 417 2.1× 826 5.7× 155 1.1× 46 2.2k
Mark Edwards Australia 29 2.2k 2.8× 378 0.9× 265 1.3× 42 0.3× 55 0.4× 155 3.0k
David M. Coppola United States 21 832 1.1× 557 1.4× 144 0.7× 41 0.3× 21 0.2× 46 1.5k

Countries citing papers authored by Alexander Maÿe

Since Specialization
Citations

This map shows the geographic impact of Alexander Maÿe's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Alexander Maÿe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Maÿe more than expected).

Fields of papers citing papers by Alexander Maÿe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander Maÿe. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Alexander Maÿe. The network helps show where Alexander Maÿe may publish in the future.

Co-authorship network of co-authors of Alexander Maÿe

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Maÿe. A scholar is included among the top collaborators of Alexander Maÿe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alexander Maÿe. Alexander Maÿe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Maÿe, Alexander, et al.. (2025). The sensorimotor basis of subjective experience in social synchronization behavior. Frontiers in Virtual Reality. 6.
2.
Burke, Rebecca M., et al.. (2024). The role of delta phase for temporal predictions investigated with bilateral parietal tACS. Brain stimulation. 18(1). 103–113.
3.
Maÿe, Alexander, et al.. (2022). Training the spatially-coded SSVEP BCI on the fly. Journal of Neuroscience Methods. 378. 109652–109652. 3 indexed citations
4.
Maÿe, Alexander, et al.. (2022). Instant classification for the spatially-coded BCI. PLoS ONE. 17(4). e0267548–e0267548. 7 indexed citations
5.
Maÿe, Alexander, et al.. (2022). Coordinating human-robot collaboration by EEG-based human intention prediction and vigilance control. Frontiers in Neurorobotics. 16. 1068274–1068274. 11 indexed citations
6.
Schneider, Till R., et al.. (2021). Socializing Sensorimotor Contingencies. Frontiers in Human Neuroscience. 15. 624610–624610. 7 indexed citations
7.
Maÿe, Alexander, et al.. (2021). Neuronal Oscillatory Signatures of Joint Attention and Intersubjectivity in Arrhythmic Coaction. Frontiers in Human Neuroscience. 15. 767208–767208. 2 indexed citations
8.
Maÿe, Alexander, et al.. (2020). Subjective Evaluation of Performance in a Collaborative Task Is Better Predicted From Autonomic Response Than From True Achievements. Frontiers in Human Neuroscience. 14. 234–234. 2 indexed citations
9.
Daume, Jonathan, et al.. (2020). Non-rhythmic temporal prediction involves phase resets of low-frequency delta oscillations. NeuroImage. 224. 117376–117376. 19 indexed citations
10.
Hwang, Tong‐Hun, Gerd Schmitz, Shashank Ghai, et al.. (2018). Effect- and Performance-Based Auditory Feedback on Interpersonal Coordination. Frontiers in Psychology. 9. 404–404. 13 indexed citations
11.
Chen, Jingjing, Zhuoran Li, Bo Hong, et al.. (2018). A Single-Stimulus, Multitarget BCI Based on Retinotopic Mapping of Motion-Onset VEPs. IEEE Transactions on Biomedical Engineering. 66(2). 464–470. 19 indexed citations
12.
Chen, Jingjing, et al.. (2017). Application of a single-flicker online SSVEP BCI for spatial navigation. PLoS ONE. 12(5). e0178385–e0178385. 39 indexed citations
13.
Maÿe, Alexander & Andreas K. Engel. (2016). The Sensorimotor Account of Sensory Consciousness: Implications for Machine Consciousness. Journal of Consciousness Studies. 23. 2 indexed citations
14.
Engel, Andreas K., Alexander Maÿe, Martin Kurthen, & Peter König. (2013). Where's the action? The pragmatic turn in cognitive science. Trends in Cognitive Sciences. 17(5). 202–209. 261 indexed citations
15.
Zhang, Dan, Alexander Maÿe, Xiaorong Gao, et al.. (2010). An independent brain–computer interface using covert non-spatial visual selective attention. Journal of Neural Engineering. 7(1). 16010–16010. 97 indexed citations
16.
Zhang, Dan, Xiaorong Gao, Shangkai Gao, Andreas K. Engel, & Alexander Maÿe. (2009). An independent brain-computer interface based on covert shifts of non-spatial visual attention. PubMed. 2009. 539–542. 7 indexed citations
17.
Maÿe, Alexander, Chih‐hao Hsieh, George Sugihara, & Björn Brembs. (2007). Order in Spontaneous Behavior. PLoS ONE. 2(5). e443–e443. 221 indexed citations
18.
Brandt, Robert, Torsten Rohlfing, Jürgen Rybak, et al.. (2005). Three-dimensional average-shape atlas of the honeybee brain and its applications. The Journal of Comparative Neurology. 492(1). 1–19. 194 indexed citations
19.
Werning, Markus & Alexander Maÿe. (2004). Implementing the (De-)Composition of Concepts: Oscillatory Networks, Coherency Chains and Hierarchical Binding.. National Conference on Artificial Intelligence. 76–81. 1 indexed citations
20.
Maÿe, Alexander. (2003). Correlated neuronal activity can represent multiple binding solutions. Neurocomputing. 52-54. 73–77. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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